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README.md
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license: apache-2.0
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---
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license: apache-2.0
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task_categories:
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- image-classification
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language:
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- en
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- pt
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tags:
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- image-regression
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- image-classification
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- u-tube-manometer
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- gauge-reader
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- water-column
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pretty_name: U-Tube Manometer Dataset 2025-2026
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size_categories:
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- 10K<n<100K
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---
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<img src="https://github.com/ClaytonSdS/VisionGauge/blob/main/steps/utm_dataset_logo2.png?raw=true" width="900"/>
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# **Dataset Description**
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This dataset was created to support Article X and is available on [Roboflow](https://universe.roboflow.com/visiongauge/utm_dataset-ooorv) and [Hugging Face](https://huggingface.co/datasets/claytonsds/UTM_Dataset).
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It consists of images of **U-tube manometers** constructed using a **transparent PVC water level hose (5/16" × 1 mm)** and **flexible measuring tapes of different colors**, each with a length of **150 cm (60 inches)**. The manometric fluids represented in the dataset include **water, oil, and dyed water**. The dataset is intended for testing ML models for reading liquid column levels.**.
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The dataset includes **904 unique original images**. All annotations were performed using the RoboFlow Annotate Tool, with label precision within ± 0.1 cm.
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# **Dataset Split**
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* **Test set:** 904 images
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# Data Structure
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The dataset follows a standard split structure:
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```
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dataset/
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├── test/
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│ ├── 10.0/
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│ └── ...
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└── dataset_mapping.csv
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```
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* Each subfolder name corresponds to the **label value** (e.g., water column height in centimeters).
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* Images inside the folder share the same height value.
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---
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# License
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This dataset is released under the **Apache License 2.0**.
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---
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# **Citation**
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```bibtex
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@dataset{utm_dataset,
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author = {Santos, Clayton Silva},
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title = {{UTM} {Dataset}},
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year = {2026},
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month = {jan},
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publisher = {Roboflow},
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version = {27},
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doi = {10.5281/zenodo.18259826},
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url = {https://universe.roboflow.com/visiongauge/utm_dataset-ooorv}
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}
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```
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